Agent skill · Databases

chembl-database

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill chembl-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: yes
Path: skills/12-科学数据库/chembl-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ChEMBL Database ## Overview ChEMBL is a manually curated database of bioactive molecules maintained by the European Bioinformatics Institute (EBI), containing over 2 million compounds, 19 million bioactivity measurements, 13,000+ drug targets, and data on approved drugs and clinical candidates. Access and query this data programmatically using the ChEMBL Python client for drug discovery and medicinal chemistry research. ## When to Use This Skill This skill should be used when: - **Compound searches**: Finding molecules by name, structure, or properties - **Target information**: Retrieving data about proteins, enzymes, or biological targets - **Bioactivity data**: Querying IC50, Ki, EC50, or other activity measurements - **Drug information**: Looking up approved drugs, mechanisms, or indications - **Structure searches**: Performing similarity or substructure searches - **Cheminformatics**: Analyzing molecular properties and drug-likeness - **Target-ligand relationships**: Exploring compound-target interactions - **Drug discovery**: Identifying inhibitors, agonists, or bioactive molecules ## Installation and Setup ### Python Client The ChEMBL Python client is required for programma

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Installation and Setup
  4. Python Client
  5. Basic Usage Pattern
  6. Core Capabilities
  7. 1. Molecule Queries
  8. 2. Target Queries
  9. 3. Bioactivity Data
  10. 4. Structure-Based Searches
  11. 5. Drug Information
  12. Query Workflow
  13. Workflow 1: Finding Inhibitors for a Target
  14. Workflow 2: Analyzing a Known Drug
Ships with 2 files
  • references/api_reference.md
  • scripts/example_queries.py
Commands it runs
uv pip install chembl_webresource_client
More from qinyan-academic-skills
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About this skill
What does the chembl-database skill do?

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill chembl-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going